Network Automation Software Lead

Remotedxb

Dubai

On-site

AED 400,000 - 800,000

Full time

14 days+

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Job summary

TensorWave is seeking a senior network automation engineer to own the ZTP pipeline from switch boot to production. You will build intent-based config with GitOps, validate deployments, and implement telemetry and observability pipelines.

You will lead a small team of software engineers and SREs, shaping the technical direction of the platform. The role requires deep expertise in Python/Go, BGP/EVPN, and data center fabrics, with strong experience in Kubernetes and OpenConfig/NETCONF ecosystems.

Qualifications

  • 8+ years of relevant experience.
  • Proven experience building network automation at scale (hyperscaler, large cloud, or AI-infrastructure).
  • Experience building or contributing to a ZTP/device-provisioning system end-to-end.
  • Strong software engineering fundamentals in Python and/or Go.
  • Hands-on depth with datacenter Clos fabrics, BGP, EVPN/VXLAN, and RoCEv2/RDMA.
  • Fluency with gNMI/gNOI, OpenConfig/YANG, NETCONF, and source-of-truth systems like NetBox or Nautobot.
  • Experience with observability pipelines such as Prometheus, Grafana, or Kafka.
  • Comfort running services on Kubernetes and containers.
  • Proven leadership experience managing a team or technical platform.

Responsibilities

  • Own the end-to-end zero-touch provisioning (ZTP) pipeline from bare-metal switch boot to production-ready status.
  • Build intent-based config generation using GitOps-style deployment and pre/post-change validation.
  • Establish network validation and pre-deployment testing using snapshot or digital-twin methods.
  • Build streaming telemetry and metrics/logging pipelines using gNMI and OpenConfig.
  • Instrument GPU network health including RoCE, optics, link errors, and BGP/EVPN state.
  • Hire, mentor, and grow a small team of software engineers and SREs.
  • Set technical direction and ensure clean integration with the broader platform stack.

Skills

Python
Go
GitOps
Team leadership

Tools

Kubernetes
gNMI
OpenConfig
NETCONF
Prometheus
Grafana
Kafka
NetBox
Nautobot
BGP
EVPN/VXLAN
RoCEv2/RDMA

Job description

About the Company

TensorWave's mission is to deliver seamless, secure, reliable, and resilient AI compute at scale. They have built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation.

Responsibilities
  • Own the end-to-end zero-touch provisioning (ZTP) pipeline from bare-metal switch boot to production-ready status
  • Build intent-based config generation using GitOps-style deployment and pre/post-change validation
  • Establish network validation and pre-deployment testing using snapshot or digital-twin methods
  • Build streaming telemetry and metrics/logging pipelines using gNMI and OpenConfig
  • Instrument GPU network health including RoCE, optics, link errors, and BGP/EVPN state
  • Hire, mentor, and grow a small team of software engineers and SREs
  • Set technical direction and ensure clean integration with the broader platform stack
Requirements
  • 8+ years of relevant experience
  • Proven experience building network automation at scale (hyperscaler, large cloud, or AI-infrastructure)
  • Experience building or contributing to a ZTP/device-provisioning system end-to-end
  • Strong software engineering fundamentals in Python and/or Go
  • Hands‑on depth with datacenter Clos fabrics, BGP, EVPN/VXLAN, and RoCEv2/RDMA
  • Fluency with gNMI/gNOI, OpenConfig/YANG, NETCONF, and source‑of‑truth systems like NetBox or Nautobot
  • Experience with observability pipelines such as Prometheus, Grafana, or Kafka
  • Comfort running services on Kubernetes and containers
  • Proven leadership experience managing a team or technical platform
Preferred Qualifications
  • Experience with GPU/AI training or inference clusters
  • Familiarity with the AMD networking ecosystem or Ethernet‑based RDMA fabrics
  • Experience with whitebox networking and SONiC at scale
  • Knowledge of network validation tools like Batfish or containerlab
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